video-analysis

name	video-analysis
description	Analyze local or downloaded social video files with the official Gemini API, especially for TikTok/Reels shot beats, timelines, voiceover or on-screen text capture, creative strategy, and natural Markdown outputs. Use this when you need video-level analysis beyond metadata, including uploading video files, prompting gemini-3.5-flash, and linking results back to source metadata.
metadata	{"postplus":{"familyId":"media-production","familyName":"Media and Creative Production"}}

Video Analysis

Use When

• The user provides a local video file or video URL and asks to watch, inspect, break down, deconstruct, analyze hooks, understand shots, capture spoken lines, or explain why a video works.
• Use this for video-level evidence beyond metadata. Do not answer actual video-understanding requests from transcript guesses or general marketing knowledge.

Do Not Use When

• The task belongs to ideation, QA, or another released skill listed in the handoff section.
• Required inputs are missing and guessing would change the result.

Execution Boundary

• Analysis runs through the hosted video-analysis capability; discover the model keys and request shape with postplus media schema --json.
• Supported local formats are .mp4, .m4v, .mov, and .webm.
• The analyze verb only accepts an already-hosted video reference. Upload the local video first with postplus media-file upload, then pass that result's output.storageReference object verbatim as the Gemini file_reference. The file_reference must be that storage-reference object (bucket, storagePath, name, mimeType), not a URL and not output.data.download_url — the hosted boundary reads the bytes back from storage and materializes the Gemini file server-side. Upload is a separate generic verb, not part of media analyze.
• This boundary does not claim inline video bytes, compression, segmentation, resumable upload, or file URI reuse. If the upload or the hosted analyze call fails, stop on that error.

Source And Path

• A direct local file can be analyzed immediately. For a URL, first download or recover the local video, then upload it with media-file upload.
• Preserve sourceId, sourceUrl, videoFilePath, sourceMetadataPath or dataset path, model, prompt version, and source basis so results can be joined back to source metadata.
• Keep downloaded videos when they are expensive to source. Keep analysis Markdown files and manifests under a stable workspace path.

Analysis Scope

• The default analysis is a single output per source video.
• It covers practical short-form structure such as hook, pacing, shot beats, VO/on-screen text, product timing, and creative strategy.
• It also asks for Visual & Brand Signals when visible: genre/mood, color palette, lighting, camera language, editing rhythm, brand feeling, and best-fit creative use cases.

Output And Handoff

• media analyze returns the hosted provider response (the Gemini candidates) verbatim. Read the analysis text from that response and write one natural Markdown file per source video into a stable workspace path; there is no batch runner or summary file.
• The analysis should cover useful video evidence such as shot beats, timeline, VO/on-screen text, reusable content structure, and creative strategy when those are relevant. If the provider returns the analysis wrapped in JSON, unwrap it to readable Markdown in-context.
• Results should stay grounded in observable video evidence. Database fields, catalog frontmatter, or search indexes belong to a separate ingestion step, not to the general video-analysis boundary.

Public Command Boundary

• Step 1 — upload the local video: postplus media-file upload --input-file <video> --mime <video/mp4|video/quicktime|video/webm> --output <upload.json>. Read the output.storageReference object from the result (bucket, storagePath, name, mimeType, sizeBytes).
• Step 2 — author the Gemini request file: contents with a text prompt part and a file_reference part set to that output.storageReference object (not a URL and not output.data.download_url), plus optional generationConfig.
• Step 3 — run the analysis: postplus media analyze <model-key> --request <gemini-request.json> --output <result.json>. When the source video duration is known (e.g. from the local file before upload), pass --video-seconds <n> so the hosted boundary can route eligible short videos efficiently; omit it when the duration is unknown.

postplus media analyze video-analysis --request request.json --output result.json

• Discover the model keys and request shape with postplus media schema --json; do not call provider APIs directly.
• If the CLI returns a quote-confirmation challenge, run postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.
• Choose the smallest matching command from the user input and run it directly.
• Readiness diagnostics: postplus doctor --skill video-analysis. If a command fails, report the exact error and stop. Do not bypass the failure by answering from metadata, base64-inlining video, readiness probing, or unowned fallbacks.